Compute confusion matrix from predictions and true labels
Usage
calc_confusion_matrix(y_true, y_pred, labels = NULL)
Arguments
- y_true
True class labels
- y_pred
Predicted class labels
- labels
Optional vector of labels to use (in order)
Value
A matrix with rows as true labels and columns as predicted labels
Examples
y_true <- c("A", "A", "B", "B", "C", "C")
y_pred <- c("A", "B", "B", "B", "C", "A")
calc_confusion_matrix(y_true, y_pred)
#> Predicted
#> True A B C
#> A 1 1 0
#> B 0 2 0
#> C 1 0 1